STRONG INFORMATION SCENT BASED SEARCH ENGINE (WEB MINING AND INFORMATION FORAGING)

Abstract

"Wealth of information creates the poverty of attention” ~Herb Simon. World wide web is the grid of valuable information which is extending with the enormous speed. World Wide Web consists of billions of web pages and their urls and thousands of web pages keeps adding every day. Search engines provide the way to access these web pages and their links based on the query fired by the users and in return, search engine provides the users with several links of the web pages which may consist of the user’s information need. But, due to the ample of links provided by the search engine in response to the fired query, user may get confused which link to follow, which will contain his/her information need. In the proposed method, we are embedding a novel optimization technique for search engine which considers the web log mining of the different user’s log and the information foraging theory concept i.e. information scent in order to provide the user with the more optimized links of the web pages in order to reduce their information snacking time.